generated: '2026-08-04' method: searched source: https://docs.kinetica.com/.well-known/agent-skills/index.json discovery: schema: https://schemas.agentskills.io/discovery/0.2.0/schema.json index: https://docs.kinetica.com/.well-known/agent-skills/index.json index_file: ../well-known/kinetica-agent-skills-index.json skills: - file: kinetica-kinetica.md name: Kinetica slug: kinetica type: skill-md source: https://docs.kinetica.com/.well-known/agent-skills/kinetica/skill.md digest: sha256:70eb0bbdd8f1a35ee3eb22909c9750de078f3fa1e3a25b01c5527dc668d43ff3 description: Use when querying and managing GPU-accelerated databases, loading data from multiple sources, executing SQL analytics, building graphs and geospatial queries, or administering Kinetica clusters. method: searched verbatim: true covers: - SQL execution via /execute/sql, KiSQL, Workbench and native clients - data loading from S3, Azure Blob, GCS, HDFS, Kafka, JDBC and local files - schema, table, view, materialized-view and index management - geospatial and graph analytics - cluster administration (hosts, rebalance, backups) - REST API access patterns and connection strings published_elsewhere: repository: https://github.com/kineticadb/agent-skills license: Apache-2.0 version: 1.0.56 install: - npx skills add kineticadb/agent-skills - /plugin marketplace add kineticadb/agent-skills marketing: https://www.kinetica.com/tools/agent-skills bundled_skills: - kinetica-code - kinetica-execute knowledge_files: 24 reference documents under knowledge/ (SQL patterns, DDL/DML reference, geospatial and graph functions, time-series handling, error handling, security reference, UDF reference, WMS reference, vector patterns, version quirks) supported_platforms: - Claude Code - Cursor - OpenAI Codex - Windsurf - Gemini CLI - GitHub Copilot - Roo Code - Cline - Aider - Continue - Amazon Q note: These skills are authored and served by Kinetica, not generated by API Evangelist. The skill.md is saved verbatim; nothing was added to it.